Revisiting the distribution index in simulated binary crossover operator for evolutionary multiobjective optimisation algorithms

The simulated binary crossover operator is an important variation operator in evolutionary algorithms. The experimental results reported in this work are a detailed study for the distribution index parameter of this operator. The results are for NSGAII algorithm. The results are interesting regarding three metrics: hypervolume, inverted generational distance and spread.